(Representative only.) An overhead tactical view shows a black quadcopter drone operating at night. Image: Maris-Tech
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Maris-Tech is addressing a key challenge in drone-based surveillance missions: maintaining stable target tracking while reducing reliance on external systems and operator input.

To address this, the company has developed an AI-based tracking capability that enables drones equipped with its Jupiter platform to maintain autonomous lock-on to designated targets.

The tech is designed to meet size, weight, and power constraints for unmanned systems while supporting low-latency onboard processing.

A product view of Jupiter-Drones. Image: Maris-tech

According to company CEO Israel Bar, adding autonomous tracking to the Jupiter family would allow customers to bring more intelligence onboard the drone itself.

“We believe that this development reflects our continued focus on making advanced AI capabilities practical for drone manufacturers and unmanned platform integrators,” he stated.

Jupiter Platform Series

Jupiter is a family of onboard computing and video-processing platforms that combine hardware and software into a unified architecture for unmanned systems.

The lineup includes Jupiter-Drones, a video engine for aerial platforms that compresses and streams live footage from two cameras simultaneously. Jupiter-AI expands this capability to multiple camera channels and integrates a Hailo-8 processor for automated target detection and tracking.

A Jupiter-Nano is on display. Image: Maris-Tech

For smaller systems, Jupiter-Nano and Jupiter Mini provide compact options designed for micro drones and constrained platforms, both supporting real-time, multi-stream video intelligence.

At the higher end, Jupiter SB and SB-AI deliver multi-channel video processing with onboard AI, intended for integration with Sony block-based camera systems.

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